PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-03-15 10:18:40.491084+00:00 (UTC)
In US/Central Time, this is 2024-03-15 05:18:40.491084-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/e067566b9f99b4fc0f1866b0a5b03fc8678a45fa0c06cf4a099fe8c7bf2e8c7d.png
We are just generating a random time serie here.
../_images/81c66670b43598260c3fa71c62c9155bc638056cefaab138d32f583003ab8002.png
../_images/896a655e26a4534486247a4eebc4a45bda5ca512176681167ec5562b343cf7cb.png